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(AsiaGameHub) –   A recent study from the University of Nevada, Las Vegas (UNLV) investigates the integration of artificial intelligence within the gambling sector and assesses the preparedness of operators and regulators for emerging challenges. The study, titled The State of AI in Gaming 2026 and conducted by the university’s International Gaming Institute (IGI) in collaboration with audit, tax, and advisory firm KPMG, offers a comprehensive overview of AI technology adoption in the gaming industry.

Implementation Remains Unfocused

The report indicates that over 80% of surveyed companies are utilizing some form of AI, primarily for enhancing content generation, customer insights, and internal operational efficiency. However, the study found that these ambitions seldom resulted in consistent advancements. On a 100-point scale measuring AI maturity, the industry scored an average of just 45, reflecting difficulties in establishing long-term AI systems.

Key areas such as infrastructure, staffing, and in-house expertise remain underdeveloped. Many companies are experimenting with AI for specific applications rather than planning for broader implementation. Governance also emerged as a weak point, with the gaming sector receiving a score of 30 out of 100 in this area. The scarcity of dedicated AI oversight roles and formal AI guidelines puts companies at risk of future legal or ethical complications.

Society is at an inflection point with AI, and until now, there has been no rigorous, independent baseline for understanding where the gambling industry stands.

Kasra Ghaharian, IGI director of research

The gambling industry faces distinct challenges, including the necessity to adhere to stringent regulations, where non-compliance can lead to significant penalties. While generative AI has gained traction in marketing and analytics, more sophisticated decision-making systems are uncommon. Companies appear hesitant to automate operational processes without clear operational guidelines and protective measures.

The Industry Must Overcome Some Notable Hurdles

The UNLV report also explores the financial implications of AI. Although most companies see AI as a means to reduce operational costs, few have experienced substantial returns. Many operators acknowledge a lack of tools to accurately measure potential savings, as their expectations have not been met.

Recent years have seen a sharp increase in academic research, patent filings, and startup investments related to gambling AI. These developments suggest that AI will become increasingly integrated across all business functions. While the necessary tools and significant interest are present, companies have yet to develop effective implementation frameworks.

The risks associated with AI are also evident. Researchers documented several instances where automated systems inflicted actual harm. One example involved faulty facial recognition technology leading to an incorrect arrest. In another instance, hotel operators’ pricing algorithms faced scrutiny for potential collusion. The use of these tools by malicious actors presents an additional challenge, as oversight struggles to keep pace with technological advancements.